danspielman / YINSlexLinks
Computes lex minimizers / absolutely minimal Lipschitz extensions in graphs
☆17Updated 10 years ago
Alternatives and similar repositories for YINSlex
Users that are interested in YINSlex are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago
- Dirichlet Process K-means☆48Updated last year
- Topology of decision boundaries☆28Updated 5 years ago
- fast kernel evaluation in high dimensions via hashing☆23Updated 4 years ago
- ☆37Updated 7 years ago
- Structure learning for sparse graphs with latent variables☆44Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- MISSION: Ultra Large-Scale Feature Selection using Count-Sketches☆13Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Lagrangian VAE☆28Updated 7 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Python code for intrinsic dimension estimation of generic datasets☆19Updated 6 years ago
- ☆16Updated 8 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 7 years ago
- Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)☆33Updated 6 years ago
- ☆11Updated 9 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Coresets☆37Updated 3 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 5 years ago